Literature DB >> 33201284

Prognostic relevance of temporal muscle thickness as a marker of sarcopenia in patients with glioblastoma at diagnosis.

Riccardo Muglia1, Matteo Simonelli2,3, Federico Pessina2,4, Emanuela Morenghi5, Pierina Navarria6, Pasquale Persico2,3, Elena Lorenzi3, Angelo Dipasquale2,3, Marco Grimaldi7, Marta Scorsetti2,6, Armando Santoro2,3, Letterio S Politi8,9,10,11.   

Abstract

OBJECTIVES: Temporal muscle thickness (TMT) is a surrogate marker of sarcopenia, correlated with survival expectancy in patients suffering from brain metastases and recurrent or treated glioblastoma. We evaluated the prognostic relevance of TMT measured on brain MRIs acquired at diagnosis in patients affected by glioblastoma.
METHODS: We retrospectively enrolled 51 patients in our Institution affected by methylated MGMT promoter, IDH1-2 wild-type glioblastoma, who underwent complete surgical resection and subsequent radiotherapy with concomitant and maintenance temozolomide, from January 1, 2015, to April 30, 2017. The last clinical/radiological follow-up date was set to September 3, 2019. TMT was measured bilaterally on reformatted post-contrast 3D MPRAGE images, acquired on our 3-T scanner no more than 2 days before surgery. The median, 25th, and 75th percentile TMT values were identified and population was subdivided accordingly; afterwards, statistical analyses were performed to verify the association among overall survival (OS) and TMT, sex, age, and ECOG performance status.
RESULTS: In our cohort, the median OS was 20 months (range 3-51). Patients with a TMT ≥ 8.4 mm (median value) did not show a statistically significant increase in OS (Cox regression model: HR 1.34, 95% CI 0.68-2.63, p = 0.403). Similarly, patients with a TMT ≥ 9.85 mm (fourth quartile) did not differ in OS compared to those with TMT ≤ 7 mm (first quartile). The statistical analyses confirmed a significant association among TMT and sex (p = 0.0186), but none for age (p = 0.642) and performance status (p = 0.3982).
CONCLUSIONS: In our homogeneous cohort of patients with glioblastoma at diagnosis, TMT was not associated with prognosis, age, or ECOG performance status. KEY POINTS: • Temporal muscle thickness (TMT) is a surrogate marker of sarcopenia and has been correlated with survival expectancy in patients suffering from brain metastases and recurrent or treated glioblastoma. • We appraised the correlation among TMT and survival, sex, age at surgery, and performance status, measured on brain MRIs of patients affected by glioblastoma at diagnosis. • TMT did not show any significant correlation with prognosis, age at surgery, or performance status, and its usefulness might be restricted only to patients with brain metastases and recurrent or treated glioblastoma.

Entities:  

Keywords:  Glioblastoma; MRI; Sarcopenia; Survival; Temporal muscle

Mesh:

Substances:

Year:  2020        PMID: 33201284     DOI: 10.1007/s00330-020-07471-8

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  19 in total

1.  Temporal muscle thickness as a new indicator of nutritional status in older individuals.

Authors:  Yoko Hasegawa; Mikako Yoshida; Aya Sato; Yumiko Fujimoto; Takeo Minematsu; Junko Sugama; Hiromi Sanada
Journal:  Geriatr Gerontol Int       Date:  2019-01-28       Impact factor: 2.730

Review 2.  Ten-year survival in glioblastoma. A systematic review.

Authors:  Tomasz Tykocki; Mohamed Eltayeb
Journal:  J Clin Neurosci       Date:  2018-05-23       Impact factor: 1.961

3.  Skeletal Muscle Mass Predicts Poor Prognosis in Patients with Advanced Pancreatic Cancer Undergoing Second-Line FOLFIRINOX Chemotherapy.

Authors:  Hee Seung Lee; Si Young Kim; Moon Jae Chung; Jeong Youp Park; Seungmin Bang; Seung Woo Park; Si Young Song
Journal:  Nutr Cancer       Date:  2019-04-07       Impact factor: 2.900

4.  Factors associated with survival for patients with glioblastoma with poor pre-operative functional status.

Authors:  Kaisorn L Chaichana; Juan Carlos Martinez-Gutierrez; Rafael De la Garza-Ramos; Jon D Weingart; Alessandro Olivi; Gary L Gallia; Michael Lim; Henry Brem; Alfredo Quinones-Hinojosa
Journal:  J Clin Neurosci       Date:  2013-04-29       Impact factor: 1.961

5.  Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases.

Authors:  Julia Furtner; Anna S Berghoff; Omar M Albtoush; Ramona Woitek; Ulrika Asenbaum; Daniela Prayer; Georg Widhalm; Brigitte Gatterbauer; Karin Dieckmann; Peter Birner; Bernadette Aretin; Rupert Bartsch; Christoph C Zielinski; Veronika Schöpf; Matthias Preusser
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

6.  High correlation of temporal muscle thickness with lumbar skeletal muscle cross-sectional area in patients with brain metastases.

Authors:  Johannes Leitner; Sebastian Pelster; Veronika Schöpf; Anna S Berghoff; Ramona Woitek; Ulrika Asenbaum; Karl-Heinz Nenning; Georg Widhalm; Barbara Kiesel; Brigitte Gatterbauer; Karin Dieckmann; Peter Birner; Daniela Prayer; Matthias Preusser; Julia Furtner
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

Review 7.  Use of the Response Assessment in Neuro-Oncology (RANO) criteria in clinical trials and clinical practice.

Authors:  Ugonma N Chukwueke; Patrick Y Wen
Journal:  CNS Oncol       Date:  2019-02-26

8.  Temporal muscle thickness is an independent prognostic marker in melanoma patients with newly diagnosed brain metastases.

Authors:  Julia Furtner; Anna S Berghoff; Veronika Schöpf; Robert Reumann; Benjamin Pascher; Ramona Woitek; Ulrika Asenbaum; Sebastian Pelster; Johannes Leitner; Georg Widhalm; Brigitte Gatterbauer; Karin Dieckmann; Christoph Höller; Daniela Prayer; Matthias Preusser
Journal:  J Neurooncol       Date:  2018-07-14       Impact factor: 4.130

Review 9.  A Critical Overview of Targeted Therapies for Glioblastoma.

Authors:  Kewal K Jain
Journal:  Front Oncol       Date:  2018-10-15       Impact factor: 6.244

Review 10.  Sarcopenia: A Time for Action. An SCWD Position Paper.

Authors:  Juergen Bauer; John E Morley; Annemie M W J Schols; Luigi Ferrucci; Alfonso J Cruz-Jentoft; Elsa Dent; Vickie E Baracos; Jeffrey A Crawford; Wolfram Doehner; Steven B Heymsfield; Aminah Jatoi; Kamyar Kalantar-Zadeh; Mitja Lainscak; Francesco Landi; Alessandro Laviano; Michelangelo Mancuso; Maurizio Muscaritoli; Carla M Prado; Florian Strasser; Stephan von Haehling; Andrew J S Coats; Stefan D Anker
Journal:  J Cachexia Sarcopenia Muscle       Date:  2019-09-15       Impact factor: 12.910

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  10 in total

1.  Impact of temporalis muscle thickness in elderly patients with newly diagnosed glioblastoma treated with radio or radio-chemotherapy.

Authors:  Francesco Pasqualetti; Michela Gabelloni; Alessandra Gonnelli; Lorenzo Faggioni; Martina Cantarella; Sabrina Montrone; Giovanni Gadducci; Noemi Giannini; Nicola Montemurro; Roberto Mattioni; Paolo Perrini; Riccardo Morganti; Mirco Cosottini; Emanuele Neri; Fabiola Paiar
Journal:  Radiol Med       Date:  2022-07-18       Impact factor: 6.313

2.  Sarcopenia in patients with dementia: correlation of temporalis muscle thickness with appendicular muscle mass.

Authors:  Jangho Cho; Mina Park; Won-Jin Moon; Seol-Heui Han; Yeonsil Moon
Journal:  Neurol Sci       Date:  2021-11-30       Impact factor: 3.830

3.  Sarcopenia Diagnosed Using Masseter Muscle Diameter as a Survival Correlate in Elderly Patients with Glioblastoma.

Authors:  Ramin A Morshed; Jacob S Young; Megan Casey; Elaina J Wang; Manish K Aghi; Mitchel S Berger; Shawn L Hervey-Jumper
Journal:  World Neurosurg       Date:  2022-02-15       Impact factor: 2.210

4.  Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: A validation study.

Authors:  Martinus P G Broen; Rueben Beckers; Anna C H Willemsen; Sandra M H Huijs; Raphael C O S Pasmans; Daniëlle B P Eekers; Linda Ackermans; Jan Beckervordersandforth; Elisabeth P M van Raak; Maikel Verduin; Monique H M E Anten; Ann Hoeben; Alida A Postma
Journal:  Neurooncol Adv       Date:  2022-03-30

5.  Standard values for temporal muscle thickness in the Japanese population who undergo brain check-up by magnetic resonance imaging.

Authors:  Masahito Katsuki; Norio Narita; Keisuke Sasaki; Yoshimichi Sato; Yasuhiro Suzuki; Shoji Mashiyama; Teiji Tominaga
Journal:  Surg Neurol Int       Date:  2021-02-23

6.  Temporal Muscle Thickness is an Independent Prognostic Biomarker in Patients with Glioma: Analysis of 261 Cases.

Authors:  Ou Ying Yan; Hai Bo Teng; Sheng Nan Fu; Yan Zhu Chen; Feng Liu
Journal:  Cancer Manag Res       Date:  2021-08-24       Impact factor: 3.989

7.  COVID-19 safety measures at the Radiology Unit of a Transplant Institute: the non-COVID-19 patient's confidence with safety procedures.

Authors:  Roberta Gerasia; Giuseppe Mamone; Santina Amato; Antonino Cucchiara; Giuseppe Salvatore Gallo; Corrado Tafaro; Giuseppe Fiorello; Calogero Caruso; Roberto Miraglia
Journal:  Radiol Med       Date:  2022-03-13       Impact factor: 6.313

8.  MiR-33a targets FOSL1 and EN2 as a clinical prognostic marker for sarcopenia by glioma.

Authors:  Wei Wang; Wei Liu; Jing Xu; Hongze Jin
Journal:  Front Genet       Date:  2022-08-17       Impact factor: 4.772

9.  Association between Temporal Muscle Thickness and Overall Survival in Non-Small Cell Lung Cancer Patients with Brain Metastasis.

Authors:  Young Il Kim; Ja Young Shin; Seung Ho Yang; Hyun Ho Kim; Byoung Yong Shim; Stephen Ahn
Journal:  Curr Oncol       Date:  2022-09-08       Impact factor: 3.109

Review 10.  Temporal Muscle and Stroke-A Narrative Review on Current Meaning and Clinical Applications of Temporal Muscle Thickness, Area, and Volume.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama; Masahiro Agata; Naomichi Wada; Shin Kawamura; Akihito Koh
Journal:  Nutrients       Date:  2022-02-06       Impact factor: 5.717

  10 in total

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